Learning Low-Dimensional Representations via the Usage of Multiple-Class Labels

Network: Computation in Neural Systems - United Kingdom
doi 10.1088/0954-898x/8/3/003
Full Text
Abstract

Available in full text

Categories
Neuroscience
Date
Authors
Publisher

Informa UK Limited

Related search

Learning Low-Dimensional Representations via the Usage of Multiple-Class Labels

Network: Computation in Neural Systems
Neuroscience
1997English

Intrinsic Generalization Analysis of Low Dimensional Representations

Neural Networks
Artificial IntelligenceCognitive Neuroscience
2003English

Learning Monolingual Compositional Representations via Bilingual Supervision

2016English

Nonexplosion of a Class of Semilinear Equations via Branching Particle Representations

Advances in Applied Probability
Applied MathematicsStatisticsProbability
2008English

Low Dimensional Representations of MEG/EEG Data Using Laplacian Eigenmaps

2007English

Transferring Neural Representations for Low-Dimensional Indexing of Maya Hieroglyphic Art

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2016English

Learning on Probabilistic Labels

2014English

Scene Segmentation With Low-Dimensional Semantic Representations and Conditional Random Fields

Eurasip Journal on Advances in Signal Processing
HardwareElectronic EngineeringSignal ProcessingElectricalArchitecture
2010English

Integrating Multiple Representations

Qualitative Inquiry
AnthropologySocial Sciences
2013English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy